Statistical Rethinking by McElreath Richard;

Author:McElreath, Richard;
Language: eng
Format: epub
Publisher: CRC Press LLC
Published: 2020-10-15T00:00:00+00:00

Hamiltonian Monte Carlo approximation

2000 samples from 4 chains

Sampling durations (seconds):

  warmup sample total

chain:1 0.06 0.03 0.09

chain:2 0.05 0.03 0.09

chain:3 0.05 0.03 0.08

chain:4 0.05 0.04 0.10

Formula:

log_gdp_std ~ dnorm(mu, sigma)

mu <- a[cid] + b[cid] * (rugged_std - 0.215)

a[cid] ~ dnorm(1, 0.1)

b[cid] ~ dnorm(0, 0.3)

sigma ~ dexp(1)

There were 2000 samples from all 4 chains, because each 1000 sample chain uses by default the first half of the samples to adapt. Something curious happens when we look at the summary:

R code 9.18

precis( m9.1 , 2 )

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